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» Validating Specifications for Model-Based Testing
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ECCV
2008
Springer
14 years 8 months ago
Unsupervised Structure Learning: Hierarchical Recursive Composition, Suspicious Coincidence and Competitive Exclusion
Abstract. We describe a new method for unsupervised structure learning of a hierarchical compositional model (HCM) for deformable objects. The learning is unsupervised in the sense...
Long Zhu, Chenxi Lin, Haoda Huang, Yuanhao Chen, A...
COMPSAC
2002
IEEE
13 years 11 months ago
A Simple Mathematically Based Framework for Rule Extraction from an Arbitrary Programming Language
Programs use rules to dictate or constrain specific decisions or actions. These rules have typically been tested, revised, and updated continuously; therefore, they represent a su...
Frederick V. Ramsey, James J. Alpigini
BMCBI
2010
179views more  BMCBI 2010»
13 years 6 months ago
A semi-supervised learning approach to predict synthetic genetic interactions by combining functional and topological properties
Background: Genetic interaction profiles are highly informative and helpful for understanding the functional linkages between genes, and therefore have been extensively exploited ...
Zhuhong You, Zheng Yin, Kyungsook Han, De-Shuang H...
BMCBI
2008
110views more  BMCBI 2008»
13 years 6 months ago
Methylation Linear Discriminant Analysis (MLDA) for identifying differentially methylated CpG islands
Background: Hypermethylation of promoter CpG islands is strongly correlated to transcriptional gene silencing and epigenetic maintenance of the silenced state. As well as its role...
Wei Dai, Jens M. Teodoridis, Janet Graham, Constan...
BMCBI
2007
95views more  BMCBI 2007»
13 years 6 months ago
Phylogenetic tree information aids supervised learning for predicting protein-protein interaction based on distance matrices
Background: Protein-protein interactions are critical for cellular functions. Recently developed computational approaches for predicting protein-protein interactions utilize co-ev...
Roger A. Craig, Li Liao